[R] Scaling Laws for Neural Machine Translation

submitted by /u/hardmaru [link] [comments]

2h

[D] Crappy Colab

Hi guys! I have currently hit a roadblock in the capabilities of Google Colab. I have worked tirelessly equally as President Trump did when he scoured Twitter for hours looking for ways to berate AOC (based tbh). Anyway, I am looking for a realistic artificial intelligence code to run using IntelliJ that can create images of possibly buildings or other...

2h

[D] grammatical algorithms vs genetic algorithms

I am familiar with the standard genetic algorithm, recently I came across the "grammatical genetic algorithm" - apparently there is a whole set of algorithms called "grammatical algorithms". E.g. https://cran.r-project.org/web/packages/gramEvol/index.html Apparently grammatical evolution algorithms are in some cases faster than standard genetic algorithms,...

4h

[Project] Concatenate LSTM models

I'm fairly new to NLP and building a model that takes two sub-models and concatenates them. The dataset has two text input columns and the predictor variable has 3 classes. Below is the code I wrote: model1 = Sequential() model1.add(Embedding(MAX_NB_WORDS,EMBEDDING_DIM,input_length=X1.shape[1])) model1.add(SpatialDropout1D(0.2)) model1.add(LSTM(100,dropout=0.2,recurrent_dropout=0.2))...

4h

"[Project]" Concatenate LSTM models

I'm fairly new to NLP and building a model that takes two sub-models and concatenates them. The dataset has two text input columns and the predictor variable has 3 classes. Below is the code I wrote: model1 = Sequential() model1.add(Embedding(MAX_NB_WORDS,EMBEDDING_DIM,input_length=X1.shape[1])) model1.add(SpatialDropout1D(0.2)) model1.add(LSTM(100,dropout=0.2,recurrent_dropout=0.2))...

4h

[P] Host and serve your TensorFlow, PyTorch, and Scikit-learn models within minutes

Hi All, I want to let you know about a project I had been working on called FlashAI.io , which addresses some of the operational issues I came across when delivering models to clients or at the workplace. I prefer spending my time building great models instead of thinking about the infrastructure complexities of hosting and serving them, so I put together...

7h

[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)

Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? TLDR: Here is a gif showing an overview of our approach Check out the extended version of our ICRA 2021 talk for Learning Topology from Synthetic Data for Unsupervised Depth Completion. This is joint work with Safa Cicek and Stefano Soatto...

8h

[P][R] Mentor needed for a Machine Learning project for the Regeneron Science Talent Search competition

Hello, my son, Michael, a highly motivated senior at a CT high school, is working on a machine learning project for the 2022 Regeneron Science Talent Search. He got started and done some research and some simulations using Tensorflow, but he needs a mentor to provide guidance, review, and feedback on his project. His project focuses on creating a machine...

9h

[R] The Two Hilbert Spaces for Nonlocal Operators

Dynamic Mode Decomposition is an operator theoretic approach to the study of dynamical systems. The way it got its start was by looking at high dimensional systems, and stacking the snapshots into a matrix that was decomposed later. The eigendecomposition of this matrix provided Dynamic Modes, which gave the dominant modes of the system. However, this...

9h

[D] "Rethinking XXX" Papers, a trend in ML

Hello Currently, there is a trend of "rethinking XXX" in the ML community (publications at top ML conferences). Do they basically just apply the existing XXX into the old problem? What's your view on this? submitted by /u/randy_wales_qq [link] [comments]

9h